Host-based intrusion detection systems adapted from agent-based artificial immune systems

Neurocomputing

Volumn 88, Issue , 2012, Pages 78-86

  Ou, Chung Ming ^a  

^a Kainga University   (Taiwan)

Author keywords

Agent; Artificial immune system; Danger theory; Dendritic cell algorithm; Intrusion detection

Indexed keywords

ACTIVATION THRESHOLDS; AGENT BASED; ARTIFICIAL IMMUNE SYSTEM; COMPUTER HOSTS; DANGER THEORIES; DENDRITIC CELL ALGORITHMS; DENDRITIC CELLS; HOST-BASED INTRUSION DETECTION SYSTEM; HUMAN IMMUNE SYSTEMS; IMMUNE RESPONSE; INPUT SIGNAL; INTRUSION DETECTION SYSTEMS; LEARNING AND MEMORY; MALICIOUS BEHAVIOR; MULTIPLE AGENTS; OPERATING CENTERS; OUTPUT SIGNAL; SYSTEM CALLS;

AGENTS; ANTIGENS; CELLS; COMPUTER CRIME; IMMUNOLOGY; INTELLIGENT SYSTEMS;

INTRUSION DETECTION;

ADAPTIVE IMMUNITY; AGENT BASED ARTIFICIAL IMMUNE SYSTEM; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; COMPUTER MEMORY; COMPUTER SECURITY; DANGER THEORY; DENDRITIC CELL; INFORMATION SYSTEM; INNATE IMMUNITY; INTRUSION DETECTION SYSTEM; MACHINE LEARNING; MATHEMATICAL COMPUTING; MATURE CONTEXT ANTIGEN VALUE; PRIORITY JOURNAL; T LYMPHOCYTE; THEORY;

EID: 84860237427     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.07.031     Document Type: Article

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